import os
os.environ["TF_CPP_MIN_LOG_LEVEL"] = "3"
import cv2
import dlib

path = "swapface _a.jpeg"
img = cv2.imread(path)
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

# 人脸分类器
detector = dlib.get_frontal_face_detector()
# 获取人脸检测器
predictor = dlib.shape_predictor(
    "shape_predictor_68_face_landmarks.dat"
)

dets = detector(gray, 1)
for face in dets:

    shape = predictor(img, face)  # 寻找人脸的68个标定点
    # 遍历所有点，打印出其坐标，并圈出来
    for id,pt in enumerate(shape.parts()):
        # print(pt)
        if 26<id<31:
            pt_pos = (pt.x, pt.y)
            cv2.circle(img, pt_pos, 2, (0, 255, 0), 1)
    cv2.imshow("image", img)

cv2.waitKey(0)
cv2.destroyAllWindows()